It is well established that body weight influences bone mass, but there is considerable controversy in the literature as to whether the principal determinant is lean mass, fat mass, or combinations of both, with variable degrees of relative influence as a function of age and sex. Total body and regional tissue composition studies were performed with DXA in a cohort of 102 HIV+ males who were on highly active antiretroviral therapy. These medications may be associated with a unique peripheral lipoatrophy without commensurate loss of lean tissue mass, and thereby provide an opportunity to assess the relative influence of fat mass on BMC levels in the absence of lean mass change. A comparison of the first quartile of peripheral fat (the lowest fat mass) with the remainder of the cohort showed no significant difference in lean mass in the total body, trunk, lower limbs, and upper limbs. In contrast, a significantly lower BMC was registered in the first peripheral fat quartile for all regions, implying an association of fat mass with BMC. By quartile stratification of the regional BMC, a comparison of the first and fourth quartiles demonstrated that the percentage fat mass decrease exceeded the lean mass decrease by a factor of 1.8 to 4.5. Regional BMCs were also stratified into two groups, < or =50 percentile and >50 percentile, and analyzed by Spearman correlation and robust multiple regression. It was found that lean mass was a determinant of BMC in both groups, whereas fat mass was an independent predictor in the >50 percentile BMC group only. The BMD t-score for the total hip was significantly lower in the first quartile of lower limb fat mass than the t-score of the remaining cohort, but this difference was not significant for the BMD lumbar spine t-score. This is a reflection of the influence of preferential local peripheral lipoatrophy on the adjacent mineral content and provides further evidence of fat mass as a determinant of BMC in addition to lean mass.
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http://dx.doi.org/10.1007/s00774-004-0541-z | DOI Listing |
Diabetes Obes Metab
January 2025
School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
Diabetes Obes Metab
January 2025
Eli Lilly and Company, Indianapolis, Indiana, USA.
Aims: To explore the relationship between weight loss and insulin sensitivity in response to tirzepatide or semaglutide.
Materials And Methods: We conducted a post hoc exploratory analysis of a 28-week, double-blind, randomized trial in people with type 2 diabetes treated with metformin, randomized to tirzepatide 15 mg, semaglutide 1 mg or placebo. We evaluated the relationship between change in body weight and change in insulin sensitivity determined from hyperinsulinemic euglycemic clamp (M value), or from mixed-meal tolerance testing (Matsuda index).
Reprod Biol Endocrinol
January 2025
Departments of Internal Medicine and Obstetrics, Gynecology and Reproductive Sciences, Yale School of Medicine, 330 Cedar St, New Haven, CT, 06510, USA.
Background: Overweight and obesity-chronic illnesses in which an increase in body fat promotes adipose tissue dysfunction and abnormal fat mass resulting in adverse metabolic, biomechanical, and psychosocial health consequences-negatively impact female fertility. Adverse conception outcomes are multifactorial, ranging from poor oocyte quality and implantation issues to miscarriages and fetal health issues. However, with the advent of novel pharmacologic agents, significant weight loss can be achieved, improving the chances of healthy pregnancies, and their use should be considered during periconceptual counseling.
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January 2025
Department of Urology, The First Hospital of Jilin University, No. 1 Xinmin Street, Chaoyang District, Changchun City, Jilin Province, China.
Kidney Stone Disease (KSD) is a prevalent urological condition, while abdominal obesity is on the rise globally. The conicity index, measuring body fat distribution, is crucial but under-researched in its relation to KSD and all-cause mortality. This study, using data from 59,842 participants in the NHANES (2007-2018), calculated the conicity index from waist circumference, height, and weight.
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January 2025
Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue Belfer, Rm1301, Bronx, NY, 10461, USA.
A high healthy lifestyle index (HLI) score, which reflects an adequate amount of sleep, no alcohol consumption, no smoking, a moderate to high physical activity level, a high quality diet, and a normal body mass index (BMI), has been associated with reduced risk of morbidity and mortality. We examined the relationship between the HLI and measurements of adipose and lean tissue volumes measured using magnetic resonance imaging (MRI). We studied 33,002 participants in the UK Biobank study, aged 40-69 years at enrolment.
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